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s23uan
- 本程序时基于混沌理论和ELMAN神经网络的短期负荷预测，能取得很好的预测效果，直接使用该程序就能实现电力短期负荷预测，同样使用于其他类型的时间序列预测-the procedures based on chaos theory and neural networks ELMAN short-term load forecasts, can be achieved very good results forecast, the direct
datamining02
- 数据挖掘及时间序列分析在NIDS中的应用 现有检测方法及其不足 研究目标 研究意义 研究方案 工作进度-data mining and time series analysis in NIDS of existing methods and the lack of objective research studies Significance program progress
DFA_soft
- 消除趋势分析（DFA）目前已经成为时间序列分析的重要方法，该软件代码具有该领域的权威性-eliminating trend analysis (DFA) has now become a time-series analysis of the important ways, The software code with the authority in the field
ARMASA_1_7
- 一个非常好的时间序列工具箱，详细使用说明见P. M. T. Broersen, Automatic Spectral Analysis with Time Series Models, IEEE Transactions on Instrumentation and Measurement, Vol. 51, No. 2, April 2002, pp. 211-216. -a very good time series toolb
spectrum
- 功能： 功率谱分析 算法参考文献：黄嘉佑，《气象时间序列分析》-functions : power spectral analysis algorithm References : Geophysics, "meteorological time series analysis"
Lyapunovexponentbyslope
- 用斜率的方法来求时间序列的lyapunov exponent,在非线性动力学和时间序列处理中经常用到。很实用的小程序。-slope of the methods used to the time series for the lyapunov exponent. Nonlinear Dynamics and the time sequence processing frequently used. Very small practica
ssa
- 不同算法对时间序列进行奇异谱分解的源程序代码，matlab2006a平台调试通过-different algorithms on time series singular spectral decomposition of the source code, matlab2006a through debugging platform
mssa
- 多通道奇异谱分析程序，可用于时间序列多尺度分析，多尺度比对与拼接等。-multi-channel singular spectrum analysis procedures can be used for time-series analysis of multi-scale, multi-scale compared with other combinations.
A_practica_method_for_calculating_largest_Lyapunov
- 小数据量方法求混沌时间序列的最大Lyapunov指数 -small amount of data methods for the chaotic time series largest Lyapunov exponent
ChaosToolbox1p0_trial
- 混沌时间序列分析与预测工具箱 Version1.0 (Chaotic Time Series Analysis and Prediction Matlab Toolbox - version 1.0) -chaotic time series analysis and forecasting toolbox Version1.0 (Chaotic Time Series Analysis and Prediction of M
Determining_embedding_dimension_for_phase-space_re
- 假近邻方法(False Nearest Neighbor,FNN)求混沌时间序列重构嵌入维-false neighbor approach (False Nearest Neighbor, FNN) for chaotic time series embedding dimension Reconstruction
Determining_lyapunov_exponents_from_a_time_series.
- Wolf方法求混沌时间序列的最大Lyapunov指数 -Wolf method for chaotic time series the largest Lyapunov exponent
Nonlinear_dynamics_delay_times_and_embedding_windo
- 如何用CC方法求混沌时间序列重构时延与嵌入窗-how CC method for Reconstruction chaotic time series with the embedded window Delay
matlabForcast
- matlab时间序列预测，本程序采用遗忘因子算法的方式实现-Matlab time series prediction that the adoption of the forgotten factor algorithm in a way
timeserieseanaly
- 用sas分析时间序列的几个实例，相信对大家掌握用sas分析时间序列很有帮助-using time series analysis sas a few examples, I believe right hands with sas helpful analysis of time series
OxMetrics
- 时间序列分析中著名的OxMetrics软件包，具体的运用需要花功夫了。-Time Series Analysis famous OxMetrics package, the specific application needs to spend the effort.
ucsd_garch
- 经济类的实用的时间序列分析软件包，已经是目前最好的版本了。USCD_GARCH，可以研究非平稳时间序列数据。-kind of practical time series analysis software package, is the best current version. USCD_GARCH can study non-stationary time series data.
TimeFrequencyToolbox
- 时间序列的时频分析工具箱，应该在业内有较大的影响力。具体的帮助文件可以在压缩包内看到。-time sequence of time-frequency analysis toolkit, the industry should have a larger impact. Specific help file can be compressed seen.
wavePredict
- 随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性时间序列的辩能力由研究和仿真表明它能有效提高预测的精度-with new mathematical tools wavelet analysis based on NN into practical load forecasting mod
DelayTime-Autoralation
- 采用自相关法计算混沌时间序列最小延迟时间的Matlab原程序。-using autocorrelation calculated chaotic time series smallest delay time of the original program Matlab.